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BananaAid: A Mobile Application for Black Sigatoka (Mycosphaerella Fijiensis) Disease Detection using Convolutional Neural Network (CNN)-Based Image Classification Approach

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BananaAid: A Mobile Application for Black Sigatoka (Mycosphaerella Fijiensis) Disease Detection using Convolutional Neural Network (CNN)-Based Image Classification Approach is a paper indexed in ScholarIQ from OpenAlex.

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BananaAid: A Mobile Application for Black Sigatoka (Mycosphaerella Fijiensis) Disease Detection using Convolutional Neural Network (CNN)-Based Image Classification Approach has 0 citations in the OpenAlex counts ScholarIQ stores.

When was BananaAid: A Mobile Application for Black Sigatoka (Mycosphaerella Fijiensis) Disease Detection using Convolutional Neural Network (CNN)-Based Image Classification Approach published?

ScholarIQyear

BananaAid: A Mobile Application for Black Sigatoka (Mycosphaerella Fijiensis) Disease Detection using Convolutional Neural Network (CNN)-Based Image Classification Approach has 2026 year in the ScholarIQ index.

What is the open-access status of BananaAid: A Mobile Application for Black Sigatoka (Mycosphaerella Fijiensis) Disease Detection using Convolutional Neural Network (CNN)-Based Image Classification Approach?

ScholarIQoa status

BananaAid: A Mobile Application for Black Sigatoka (Mycosphaerella Fijiensis) Disease Detection using Convolutional Neural Network (CNN)-Based Image Classification Approach has diamond oa status in the ScholarIQ index.

What is the DOI of BananaAid: A Mobile Application for Black Sigatoka (Mycosphaerella Fijiensis) Disease Detection using Convolutional Neural Network (CNN)-Based Image Classification Approach?

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The OpenAlex for BananaAid: A Mobile Application for Black Sigatoka (Mycosphaerella Fijiensis) Disease Detection using Convolutional Neural Network (CNN)-Based Image Classification Approach is on the source record.

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